research
MAmattpocock/skills288k近 7 天新增 10,178 个 star
Use when a user provides DeepSeek web AI-search keywords, repeat count, target entity, and entity type, then needs repeated fresh-window crawls aggregated into JSON plus a Kami HTML GEO report. Not for generic website crawling, DeepSeek API chat, SEO writing, or one-off answer generation.
Standard inputs: keywords/questions, repeat count, target entity, entity type (人/person, 公司/company, 产品/product), browser profile, and optional output directory. Competitors must match the target type. Reports default to Simplified Chinese with an English summary toggle.
references/user-setup-and-usage.md for install, prerequisites, and user-facing steps.references/deepseek-crawl-workflow.md for crawler setup, preflight, delay, resume, and batch rules.references/report-contract.md for JSON schema, metrics, target/competitor recognition, and report rules.node scripts/preflight.mjs --profile <profile> before fresh crawling.scripts/deepseek_batch_crawl.mjs with questions, repeat, profile, target entity/type, --safe-random-delay, and output dir.scripts/analyze_deepseek_results.py on any crawl JSON with target entity/type, optional brands file, report output dir, and semantic review mode. Use --semantic-review auto by default; use --semantic-review required for formal delivery when AI review must pass.--semantic-review required passes. AI semantic review is an audit enhancement and never replaces hard-rule gates or answer-body evidence.MAmattpocock/skills288k近 7 天新增 10,178 个 star
AFaffaan-m/ECC278k近 7 天新增 4,046 个 star
GAgarrytan/gstack136k近 7 天新增 883 个 star
NEnextlevelbuilder/ui-ux-pro-max-skill135k近 7 天新增 1,864 个 star
NEnextlevelbuilder/ui-ux-pro-max-skill135k近 7 天新增 1,864 个 star
NEnexu-io/open-design101k近 7 天新增 1,126 个 star